Job Description

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

The Data Scientist – People Analytics & Data Quality is responsible for ensuring accurate, consistent, and well-governed personnel data and transforming it into insights, dashboards, and scalable analytics solutions. The role supports HR Business Partners (HRBPs) and business leaders by enabling data-driven workforce decisions through automation, advanced analytics, and AI-enabled use cases.

This role partners closely with HR, IT, and People Analytics stakeholders and plays a key role in improving trust in HR data while expanding analytical maturity across the organization.

Scope & Impact

• Leads complex, cross-functional people analytics initiatives with broad business impact.

• Owns data quality strategy, advanced analytics solutions, and automation design for multiple HR domains.

• Acts as a trusted analytics advisor to senior HR and business stakeholders.

Key Responsibilities

• Own and drive the quality, consistency, and governance of personnel data across HR systems and analytics platforms.

• Define and implement data quality frameworks, validation rules, and reconciliation processes to ensure trusted HR data.

• Design, maintain, and evolve scalable workforce data models integrating multiple HR data sources (e.g., HCM, ATS, LMS).

• Lead the development of advanced dashboards and self-service analytics solutions for HRBPs and business leaders.

• Translate complex and ambiguous business and workforce questions into structured analytical approaches and actionable insights.

• Identify, design, and implement automation solutions to streamline HR reporting, data preparation, and recurring analyses.

• Lead AI-enabled and advanced analytics use cases (e.g., attrition prediction, workforce forecasting, skills and mobility insights).

• Act as a trusted analytics advisor to senior HR and business leaders, influencing decision-making through data storytelling.

• Partner with HR, HRIS, IT, and data governance teams to align analytics solutions with enterprise data architecture and standards.

• Mentor and provide technical guidance to junior data scientists or analysts within People Analytics.

• Ensure responsible, ethical, and compliant use of employee data in line with privacy, security, and regulatory requirements.

• Continuously improve people analytics capabilities, standards, and best practices across the organization.

Knowledge, Skills & Experience

• Bachelor’s or Master’s degree in a quantitative field.

• Typically 4+ years of experience in data science, advanced analytics, or people analytics.

• Advanced proficiency in SQL and Python/R, including automation and modeling.

• Strong experience with BI tools and data visualization best practices.

• Proven experience applying machine learning or advanced statistical techniques.

• Deep understanding of HR data, governance, and employee data privacy.

• Strong influencing and stakeholder management skills.

Critical Success Factors

• High trust in HR data through strong quality and governance practices.

• Scalable, automated analytics that reduce manual effort.

• Clear, actionable insights that support workforce decisions.

• Effective collaboration across HR, IT, and business teams.

• Alignment with Thermo Fisher’s values: Integrity, Intensity, Innovation, and Involvement